Siddharth Maddali

Senior Camera Systems Engineer at Tesla

San Francisco Bay Area United States
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Summary

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Siddharth Maddali is a Senior Camera Systems Engineer and computational scientist with a PhD in physics and over nine years of experience applying simulation, ML, and signal-processing techniques across X-ray imaging, acoustics/ultrasound, and semiconductor inspection. He has led pioneering experimental demonstrations and computational developments at national labs (Argonne) and industry, including first-of-kind multi-reflection and multi-scale coherent diffraction imaging and ML-driven materials discovery. At KLA and Liminal he translated physics-first models into production-grade inspection tools, and now brings that blend of rigorous physical modeling and software engineering to camera systems at Tesla. Known for bridging theory and practice, he combines high-impact publications and grant leadership with mentorship and workshop organization, and actively builds open computational tools for X-ray and condensed-matter problems.
code9 years of coding experience
job7 years of employment as a software developer
bookIndian Institute of Technology Madras
bookBengaluru University
bookKendriya Vidyalaya Sangathan
bookDoctor of Philosophy (Ph.D.) Engineering Physics/Applied Physics, Doctor of Philosophy (Ph.D.) Engineering Physics/Applied Physics at Carnegie Mellon University
languagesEnglish, Hindi, Marathi, Tamil, Telugu, Kannada, French
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Github Skills (27)

hierarchical9
ancestry9
boundaries9
soap8
smooth8
creative-commons7
distortion6
retrieval6
tensorflow5
python5
imaging4
crystallography4
gpu4
condensed-matter-physics3
surface3

Programming languages (4)

C#ShellJupyter NotebookMatlab

Github contributions (5)

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Implementation of the hierarchical smooth algorithm applicable to voxelated images of interface networks ( grain boundaries, soap foam, etc. )
Contributions:1 release, 88 commits, 2 PRs in 3 years 8 months
boundariesgraingrain-boundarieshierarchicalsoap
siddharth-maddali/Phaser

Dec 2020 - Sep 2021

BCDI phase retrieval module written in Python 3.x. GPU implementation done using Tensorflow 2.1, with an older library available that uses Tensorflow 1.x.
Contributions:2 releases, 10 commits, 5 PRs in 9 months
pythongpux-ray-physicscoherent-diffraction-imagingpython-3
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Siddharth Maddali - Senior Camera Systems Engineer at Tesla